marktechpost

How to Build Advanced Quantum Algorithms Using Qrisp with Grover Search, Quantum Phase Estimation, and QAOA

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
GitHub

A privacy-first distributed training framework built on MLX for Apple Silicon, enabling secure and efficient AI model training across multiple devices while preserving data ...

22 transformer layers 2048 embedding dimensions 16 attention heads 8192 max sequence length Training optimizations: Flash Attention, Grouped Query Attention (GQA), RoPE embeddings, SwiGLU activations ...
Frontiers

Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
IEEE

A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...
GitHub

unet_training_smartcache.py

# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the ...